Data mining techniques for enhancing regional product allocation management

1. A computer method comprising: providing a demand database comprising a compendium of individual demand history; providing a supply database comprising a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics; and employing a data mining technique for interrogating said demand and supply databases for generating an output data stream, said output data stream correlating a regional demand problem with a regional supply solution, wherein the employing the data mining technique comprises employing neural networks as the data mining technique.

2. A method according to claim 1 , further comprising: updating the demand database.

3. A method according to claim 2 , wherein the updating the demand database comprises using the results of employing a data mining technique.

4. A method according to claim 2 , further comprising: refining an employed data mining technique in cognizance of pattern changes embedded in each database as a consequence of updating the demand database.

5. A method according to claim 1 , further comprising: updating the supply database.

6. A method according to claim 5 , wherein said updating the supply database comprises using the effects of the employing the data mining technique on the demand database.

7. A method according to claim 4 , further comprising: refining the employed data mining technique in cognizance of pattern changes embedded in each database as a consequence of updating the supply database.

8. The method according to claim 1 , further comprising: adding a product to a recommended regional product allocation if the data mining technique determines there is a match between a classification of a demand feature from the demand database and a classification of a demand feature from the supply database.

9. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for providing an interactive regional product allocation management database, the method comprising: providing a demand database comprising a compendium of individual demand history; providing a supply database comprising a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics; and employing a data mining technique for interrogating said demand and supply databases for generating an output data stream, said output data stream correlating a regional demand problem with a regional supply solution, wherein the employing the data mining technique comprises employing neural networks as the data mining technique.

10. The method according to claim 9 , further comprising: updating the supply database to include the effects of employing the data mining technique on the demand database. 11 .The method according to claim 9 , further comprising: refining the employed data mining technique by analyzing pattern changes embedded in each database as a consequence of an updating of the demand database.

12. A computer comprising: means for inputting a demand database comprising a compendium of individual demand history; means for inputting a supply database comprising a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics; means for employing a data mining technique for interrogating said demand and supply databases; and means for generating an output data stream, said output data stream correlating a regional demand problem with a regional supply solution, wherein the means for employing the data mining technique comprises means for employing neural networks as the means for data mining technique.

13. The computer of claim 12 , wherein said means for generating an output data stream adds a product to a recommended regional product allocation if the means for employing a data mining technique determines there is a match between a classification of a demand feature from the demand database and a classification of a demand feature from the supply database.

14. A regional product allocation management system, comprising: a demand database comprising an individual demand history; a supply database comprising a regional product allocation resources; and a computerized data mining module for accessing said demand database and said supply database for generating an output data stream, said output data stream correlating a regional demand problem with a regional supply solution, wherein said regional product allocation resources comprise a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics and wherein the accessing said demand database and said supply database for generating an output data stream comprises employing neural networks as a data mining technique.

15. The system according to claim 14 , wherein the computerized data mining module further comprises a data mining technique using a cognizance of pattern changes embedded in said demand database and said supply database.

16. The system according to claim 14 , wherein the data mining module comprises a data mining correlation algorithm, wherein said algorithm analyzes demand features including a specific region in which a particular demand was actualized.

17. A system according to claim 14 , further comprising means for adding a product to a recommended regional product allocation if the data mining module determines there is a match between a classification of a demand feature from the demand database and a classification of a demand feature from the supply database.

18. A system according to claim 14 , wherein the supply database cumulatively tracks regional product allocation management market research.